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IntelliJ IDEA 2026.2 EAP Is Open
The Early Access Program (EAP) for IntelliJ IDEA 2026.2 is now ongoing. The first EAP builds are already available in the Toolbox App, on the website, and as a snap for Ubuntu. As always, EAP builds are free to use until the release ships, and the feedback you send genuinely helps shape the final ve
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The Early Access Program (EAP) for IntelliJ IDEA 2026.2 is n… （摘要兜底）
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ニュース
The pressure Daniel Stenberg on the unprecedented level of pressure the curl team are facing right now thanks to the deluge of (credible) AI-assisted security issues being reported. The rate of incoming security reports is 4-5 times higher than it was in 2024 and double the speed of 2025 -- meaning
9/10
ニュース
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on Apple Silicon. While in pre-release we'd love feedback on: Performance improvements o
9/10
ニュース
Amazon Bedrock AgentCore payments is now available in preview, it provides instant payments to paid external services with no manual billing setup per provider, stablecoin support for cost-effective microtransactions that make sub-cent transactions economically viable, and configurable spending guar
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ニュース
Platform Engineering Labs has announced a major update to its open-source Infrastructure-as-Code platform, formae, introducing full Kubernetes support, native Helm integration, direct .tfvars compatibility, and a new public plugin hub aimed at simplifying cloud-native infrastructure management By Cr
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新製品
在Code w/ Claude 伦敦活动上，Anthropic 宣布了 Claude Managed Agents 的两项新能力：自托管沙箱（公开测试版）和 MCP 隧道（研究预览）。这两项功能使 AI 智能体的工具执行环境与企业私有网络内的 MCP 服务器连接均可运行在客户自有基础设施或指定托管服…
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新製品
小米MiMo-V2.5系列API价格永久下调，最高降幅达99%，现与DeepSeek V4 Pro同价。Token套餐同步升级，同等价格下可用token量增加5-8倍，计费规则更简单透明。所有现有用户套餐额度将全额重置。此次降价源于MiMo全栈推理优化与服务效率提升，后续将发布技术博客详述细节。
オピニオン
Researchers benchmark seven foundation models from five providers on 273 Ukrainian legal documents from the state registry (EDRSR). Key finding: tokenizer efficiency varies 1.6x across models, with Qwen3 consuming 60% more tokens than Llama-family models on identical legal text. This directly impacts inference cost, latency, and operational efficiency.
AutoResearchClaw automates scientific discovery through iterative hypothesis refinement, experiment-driven learning, and cross-cycle knowledge accumulation—overcoming limitations of linear pipeline approaches. The system supports human feedback and learns from failed experiments rather than stopping at errors.
Research addresses the challenge of detecting AI-generated text as models like GPT-4, Claude 3.5, and Llama produce increasingly human-like outputs. The study examines detection methods to combat misinformation and maintain digital content integrity in the era of advanced generative models.